AI Tips and Traps

Häftad, Engelska, 2026

270 kr

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Beskrivning

Based on a series of popular courses and workshops that Professor Patrick Barry has created for students, professionals, and anyone else interested in taking a skills-based approach to artificial intelligence, this book gives you a chance to engage with important AI concepts, experiment with exploratory AI exercises, and then ultimately develop your own customized list of AI traps to try as well as AI traps to avoid.

Produktinformation

Utgivningsdatum:2026-09-01
Mått:152 x 229 x undefined mm
Format:Häftad
Språk:Engelska
Antal sidor:100
Förlag:Michigan Publishing Services
ISBN:9781607859291

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Mer om författaren

Patrick Barry is a clinical assistant professor and the director of digital academic initiatives at the University of Michigan Law School, as well as a visiting lecturer at the University of Chicago Law School and the UCLA School of Law. An All-American soccer player in college, Patrick is the author of twelve books, and he has also created several online series for the educational platform Coursera, including Good with Words: Writing and Editing and AI for Lawyers and Other Advocates. Among his teaching awards are the Wayne Booth Prize for Excellence in Teaching, the Provost’s Innovation in Teaching Prize, and the Outstanding Research Mentor Award.

Innehållsförteckning

Chapter 1. Conspicuously GoodChapter 2. Unprepared for What Has Already HappenedChapter 3. Mechanical SympathyChapter 4. AI InternsChapter 5. Lawyers Still Roam the EarthPart 1. Communication and CreativityChapter 6. Help or Hype?Chapter 7. Draftors→EditorsChapter 8. Drafting DangersChapter 9. Path DependenceChapter 10. Intellectual AutopilotChapter 11. Two-Question MinimumChapter 12. Finding Your VoicePart 2. Time and TasksChapter 13. Quality ControlChapter 14. Time-SaversChapter 15. Meeting MagicChapter 16. Low-Hanging AI FruitChapter 17. A New WorldChapter 18. Delegation RemorseChapter 19. Automating InequalityChapter 20. Four Thousand WeeksPart 3. Learning and LeadingChapter 21. Producing More, Understanding LessChapter 22. Feedback MachinesChapter 23. F**k the AlgorithmChapter 24. God Bless the AlgorithmChapter 25. Feedback vs. AdviceChapter 26. Work, Responsibility, and PlayPhoto CreditsNotes